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Author

Matias Zaldarriaga

2 papers indexed here

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#artificial intelligence Preprint Sep 2026

How AI Agents Discover Scientific Equations: From Hydrotope Rediscovery to New Water-Wave Amplitudes

We study how AI agents discover and validate scientific formulas using a controlled case study of the hydrotope, a recently discovered geometric formula that combines the different polynomial pieces of nonlinear surface-wave scattering into one global expression. This problem is deceptively difficult: simple formulas c...

Zi-Han Zhou, D. Wadekar, Matias Zaldarriaga · 0 citations

Discovery of Interpretable Surrogates via Agentic AI: Application to Gravitational Waves

GWAgent, a large language model (LLM)-based workflow that constructs interpretable analytic surrogates directly from simulation data, shows that validation-constrained agentic workflows can produce accurate, fast, and interpretable surrogates for scientific simulations and inference.

Tousif Islam, D. Wadekar, T. Venumadhav et al. · 4 citations

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